MACK — Multi-Agent Continuity Kernel
Framework
Most AI workflows degrade over time. Sessions grow long, context fragments, output quality drops. MACK is a structured framework for running complex, multi-session projects across multiple AI agents — each with a fixed function, each maintaining continuity through a structured kernel. The result is consistent, high-quality output at speed — across writing, research, product development, and beyond.
Fixed-function agents
Each AI agent has a defined role — ideation, drafting, research, code, review. Scope is fixed. Output stays focused.
Structured chat flows
Chat topics are fixed across agents. One chat per function. No sprawl, no context bleed between workstreams.
Kernel continuity
When a session grows long or context degrades, compress it to a kernel. Drop the kernel into the next session. Quality resets.
Step 1 — Upload or paste your chat history
Drop your chat export here
.txt · .md · .html · .json — any AI platform export
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